A safety monitoring and early warning system for mechanical manufacturing

Abstract

The present invention discloses a safety monitoring and early warning system for mechanical manufacturing. The present invention pre-deploys multiple groups of sensors on manufacturing machine tool equipment, thereby accurately collecting the operating temperature information of each pre-deployed point within a set monitoring time period. By calculating the temperature change value and the state temperature value, not only the rate of temperature change and the degree of temperature exceedance are considered, but also the deviation from the preset reference value is considered, providing a more comprehensive equipment operation status evaluation. Further, the operation early warning index obtained through comprehensive analysis provides a method for quantifying risks, thereby achieving early warning of manufacturing machine tool equipment while improving the accuracy of early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and early warning, and in particular to a safety monitoring and early warning system for mechanical manufacturing. Background Art

[0002] In order to ensure safe production in the machinery manufacturing industry, the machinery manufacturing process is usually monitored through a safety monitoring system. However, the safety monitoring system in the prior art still has the following defects in the actual monitoring process:

[0003] Traditional safety monitoring systems do not have an early warning mechanism and cannot timely predict potential equipment failures based on the operating temperature information of manufacturing machine tools, which may cause personal injury and property loss once a failure occurs.

[0004] Furthermore, most existing safety monitoring and early warning systems only focus on the early warning and monitoring of the equipment itself, ignoring the monitoring of the environment in which the staff are located, and the monitoring is one-sided.

[0005] To this end, a safety monitoring and early warning system for mechanical manufacturing is introduced. Summary of the invention

[0006] In view of this, the present invention provides a safety monitoring and early warning system for mechanical manufacturing to solve the problems raised by the above background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A safety monitoring and early warning system for mechanical manufacturing, comprising:

[0008] Equipment collection module: collects the operating temperature information of the pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period, and sends the operating temperature information collected by the pre-arranged points within the set time period to the early warning analysis module; the number of the pre-arranged points of the operating temperature information is marked as i, i=1,2...K, K is the total number of the pre-arranged points of the operating temperature information;

[0009] Environmental collection module: Set the monitoring time interval of air quality information. When the set monitoring time interval is reached, collect the air quality information of the pre-arranged points in the working environment of the machinery manufacturing at the current arrival time point, and send the air quality information collected at the pre-arranged points at the current arrival time point to the early warning analysis module; mark the number of the pre-arranged points of air quality information as j, j=1,2...D, D is the total number of pre-arranged points of air quality information; air quality information includes dust concentration and harmful gas concentration in the air;

[0010] Early warning analysis module: Receives and analyzes the operating temperature information of pre-set points of manufacturing machine tools within the set monitoring period to obtain the operation early warning index It is also used to receive and analyze the air quality information of the pre-arranged points in the working environment of the machinery manufacturing at the current arrival time point to obtain the environmental assessment index. ; Set the operation warning index and Environmental Assessment Index The reference threshold index; the operation warning index and Environmental Assessment Index Compare with the set reference threshold index respectively. If the operation warning index and Environmental Assessment Index If both are greater than the set reference threshold index, an operation warning signal and an environmental warning signal are generated based on the current comparison time point and sent to the warning processing module;

[0011] Warning processing module: receives the operation warning signal and environmental warning signal generated at the current comparison time point, and executes corresponding steps;

[0012] Early warning optimization module: When an abnormality occurs in a manufacturing machine tool, the time point of the abnormality is marked as the starting point, and the operation early warning index within the monitoring time period before the starting point is set. Analyze and record, and build a database based on this.

[0013] In some embodiments, the operation warning index is obtained The specific steps are:

[0014] M1: Extract the operating temperature values ​​of the corresponding layout points at each time point within the set monitoring time period, construct a line graph of the operating temperature changes of the corresponding layout points, draw the numerical points corresponding to the operating temperature values ​​of the corresponding layout points at each time point in the line graph, and connect adjacent numerical points to obtain temperature lines; calculate the slope of each group of temperature lines and the angle between them and the horizontal line. If the angle is an obtuse angle, mark the slope of the temperature line as the first slope, and sum all the first slopes to obtain the first total value; if the angle is an acute angle, mark the slope of the temperature line as the second slope, sum all the second slopes and take the absolute value to obtain the second total value, use the highest numerical point and the lowest numerical point in the figure as reference points, construct a line segment, mark the constructed line segment with a vertical line, and calculate the length of the vertical line to obtain the vertical line length a1; mark the calculated first total value and second total value as a2 and a3 respectively, calculate the ratio between the first total value and the second total value based on the specific value of the second total value a3, and mark the calculated ratio as a4, that is, through Calculate and obtain; extract the vertical line length a1 and ratio a4 of the corresponding layout point within the set monitoring time period and substitute them into the formula Perform weighted calculation to obtain the temperature change value q1 of the corresponding deployment point within the set monitoring time period; where t1 and t2 are the influencing weight factors of the vertical line length a1 and the ratio a4 respectively;

[0015] M2: Based on the temperature change line graph constructed in step M1, extract the reference temperature value of the corresponding layout point; construct a reference line in the line graph corresponding to the reference temperature value, take the numerical point higher than the reference line as the reference point, construct a vertical line between each group of reference points and the reference line, and mark the vertical line as a high reference line; calculate the length of each group of high reference lines, count the number of high reference lines and record it as b1, take the average of the length of each group of high reference lines and record it as b2; substitute the number of high reference lines b1 and the length average b2 into the formula q2=b1×z1+b2×z2 for weighted calculation, and obtain the state temperature value q2 of the corresponding layout point within the set monitoring time period; where z1 and z2 are the influence weight factors of the number of high reference lines b1 and the length average b2 respectively;

[0016] M3: According to the location of the corresponding layout point, preset reference values ​​of the variable temperature value q1 and the state temperature value q2; calculate the ratios of the variable temperature value q1 and the state temperature value q2 of the corresponding layout point within the set monitoring time period with the corresponding reference values, and obtain the variable temperature ratio and the state temperature ratio; construct a rectangular model of the corresponding layout point within the set monitoring time period with the variable temperature ratio as the length value of the rectangle and the state temperature ratio as the width value of the rectangle, and calculate the area of ​​the constructed rectangle, and use the calculated area as the operation estimate YX of the corresponding layout point;

[0017] M4: Based on steps M1-M3, the operation estimation values ​​of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period are obtained and marked as YXi; based on the location of the pre-arranged points, the allowable values ​​of the operation estimation values ​​YXi of different arrangement points are preset and recorded as .

[0018] In some embodiments, the operation warning index is obtained The specific steps of step 2 are:

[0019] Substitute the estimated operation value YXi of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period into the formula , perform weighted calculation to obtain the operation warning index ; where uyi represents the impact weight factor of the operating estimate YXi of each group of pre-deployed points.

[0020] In some embodiments, an environmental assessment index is obtained The specific steps are:

[0021] P1: Mark the type of harmful gas as v; where v=1, 2...F; based on the current working environment of mechanical manufacturing, preset reference values ​​of dust concentration and harmful gas concentration;

[0022] P2: Extract the dust concentration value and harmful gas concentration value of the corresponding deployment point at the current arrival time, and mark them as Nt and ; The reference values ​​of dust concentration and harmful gas concentration are marked as and ; The dust concentration value Nt and the harmful gas concentration value of the corresponding deployment point Substitute into the formula Perform weighted calculation to obtain the environmental estimation value NS of the corresponding deployment point at the current arrival time point; where ck1 and ck2 are the dust concentration value Nt and the harmful gas concentration value respectively. The impact weight factor of

[0023] P3: Based on step P2, obtain the environmental estimates of each group of pre-arranged points in the working environment of the mechanical manufacturing at the current arrival time point and mark them as NSj; take the average of each group of environmental estimates NSj, that is, through The calculated mean value is used as the environmental assessment index of the working environment of mechanical manufacturing at the current arrival time point. .

[0024] In some embodiments, when an operation warning signal is generated, corresponding steps are performed, specifically:

[0025] H1: Operation warning index corresponding to the operation warning signal Calculate the difference with the reference threshold index, match the calculated difference with the two sets of difference value ranges; set each set of difference value ranges to correspond to an early warning level; obtain the early warning level at the current comparison time point; the early warning levels are divided into general early warning and severe early warning;

[0026] H2: If a general warning is generated, the current manufacturing machine tool equipment is taken as the warning circle center, and the distance is set as the radius to draw a circle. The maintenance personnel within the circle are extracted as the maintenance personnel to be selected for the manufacturing machine tool equipment at the current comparison time point. The distance between the maintenance personnel to be selected and the warning circle center is obtained and marked as gy1; the time difference between the entry time of the maintenance personnel to be selected and the current comparison time point is further calculated to obtain the working hours of the maintenance personnel to be selected and marked as gy2; the average solution time of the maintenance personnel to be selected is extracted and recorded as gy3; the time point when the maintenance personnel arrives at the warning circle center and feeds back the arrival signal is marked as the start time, and the time point when the problem is solved and the end signal is fed back is marked as the end time. The difference between the start time and the end time is calculated to obtain the maintenance time taken by the maintenance personnel for this maintenance. The average time taken by each group of maintenance personnel is taken to obtain the average solution time of the maintenance personnel;

[0027] Substitute the distance gy1, working time gy2 and average time gy3 of the maintenance personnel to be selected into the formula Perform weighted calculation to obtain the optimal value of the maintenance personnel to be selected ; Where vh1, vh2 and vh3 are the influencing weight factors of the distance gy1, working time gy2 and average solution time gy3 respectively;

[0028] The optimal value The largest maintenance personnel to be selected is used as the maintenance personnel of the current manufacturing machine tool equipment, and a maintenance signaling is sent to the mobile terminal of the maintenance personnel;

[0029] H3: If a serious warning is generated, the production work of the manufacturing machine tool equipment is stopped and step H2 is executed.

[0030] In some embodiments, when an environmental warning signal is generated, corresponding steps are executed, specifically: first, the alarm of the working environment of the mechanical manufacturing is triggered to remind the staff to evacuate and wear protective equipment, further increase mechanical ventilation and send abnormal environment signaling to the mobile terminal of the manager.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention pre-arranges multiple groups of sensors on the manufacturing machine tool equipment, thereby accurately collecting the operating temperature information of each pre-arranged point within the set monitoring time period. By calculating the temperature change value and the state temperature value, not only the rate of temperature change and the degree of temperature exceedance are considered, but also the deviation from the preset reference value is considered, providing a more comprehensive equipment operation status evaluation. Further, the operation warning index obtained through comprehensive analysis provides a method for quantifying risks, realizing the early warning of the manufacturing machine tool equipment while improving the accuracy of the early warning;

[0033] The present invention obtains the environmental assessment index of the entire working environment by calculating the mean of the environmental valuation of each group of pre-arranged points, thus providing a comprehensive indicator for the air quality of the entire machinery manufacturing site and providing comprehensiveness of early warning;

[0034] The present invention selects a maintenance personnel with the largest selection value to be selected when an early warning is triggered, and sends a maintenance signaling to the personnel's mobile terminal, thereby improving the timely processing and processing efficiency when an early warning occurs in the manufacturing machine tool equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0036] Figure 1 It is a principle block diagram of the present invention;

[0037] Figure 2 It is a temperature change line graph in the present invention. DETAILED DESCRIPTION

[0038] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0039] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0040] See also Figure 1 As shown, a safety monitoring and early warning system for mechanical manufacturing includes:

[0041] The equipment acquisition module is used to collect the operating temperature information of the pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period, and send the operating temperature information collected by the pre-arranged points within the set time period to the early warning analysis module; the number of the pre-arranged points of the operating temperature information is marked as i, i=1,2...K, K is the total number of pre-arranged points of the operating temperature information; the temperature is collected through the temperature sensors pre-arranged in different parts of the equipment, and the different parts include but are not limited to bearings, electrical connectors, motors, etc., which are specifically arranged according to the technical personnel, and the number of arrangement points can be increased according to the actual situation later;

[0042] The environment collection module is used to set the monitoring time interval of air quality information. When the set monitoring time interval is reached, the air quality information of the pre-deployed points in the working environment of the machinery manufacturing at the current arrival time point is collected, and the air quality information collected at the pre-deployed points at the current arrival time point is sent to the early warning analysis module; the number of the pre-deployed points of air quality information is marked as j, j=1,2...D, D is the total number of pre-deployed points of air quality information; the air quality information includes the dust concentration and harmful gas concentration in the air; the gas concentration is collected by gas sensors pre-deployed at different positions in the working environment, and the different locations of the deployment are determined by the technical personnel according to the current working environment of the machinery manufacturing, and can be installed in different areas or at different heights; the deployment points can be increased later according to the actual situation;

[0043] The early warning analysis module is used to receive and analyze the operating temperature information of the pre-deployed points of the manufacturing machine tool equipment within the set monitoring time period to obtain the operation early warning index. It is also used to receive and analyze the air quality information of the pre-arranged points in the working environment of the machinery manufacturing at the current arrival time point to obtain the environmental assessment index. ; Set the operation warning index and Environmental Assessment Index The reference threshold index is set by the technicians based on the model of the current manufacturing machine tool equipment and the working environment status, and can be adjusted and modified according to the actual application situation. and Environmental Assessment Index Compare with the set reference threshold index respectively. If the operation warning index and Environmental Assessment Index If both are greater than the set reference threshold index, an operation warning signal and an environmental warning signal are generated based on the current comparison time point and sent to the warning processing module;

[0044] Get the operation warning index The specific steps are:

[0045] M1: Extract the operating temperature values ​​of the corresponding layout points at each time point within the set monitoring time period, construct a line graph of the operating temperature changes of the corresponding layout points, draw the numerical points corresponding to the operating temperature values ​​of the corresponding layout points at each time point in the line graph, and connect adjacent numerical points to obtain temperature lines; calculate the slope of each group of temperature lines and the angle between them and the horizontal line. If the angle is an obtuse angle, mark the slope of the temperature line as the first slope, and sum all the first slopes to obtain the first total value; if the angle is an acute angle, mark the slope of the temperature line as the second slope, sum all the second slopes and take the absolute value to obtain the second total value, use the highest numerical point and the lowest numerical point in the figure as reference points, construct a line segment, mark the constructed line segment with a vertical line, and calculate the length of the vertical line to obtain the vertical line length a1; mark the calculated first total value and second total value as a2 and a3 respectively, calculate the ratio between the first total value and the second total value based on the specific value of the second total value a3, and mark the calculated ratio as a4, that is, through Calculate and obtain; extract the vertical line length a1 and ratio a4 of the corresponding layout point within the set monitoring time period and substitute them into the formula Perform weighted calculation to obtain the temperature change value q1 of the corresponding deployment point within the set monitoring time period; where t1 and t2 are the influencing weight factors of the vertical line length a1 and the ratio a4 respectively;

[0046] M2: Based on the temperature change line graph constructed in step M1, extract the reference temperature value of the corresponding layout point; the technician sets it according to the location of the layout point to indicate the normal temperature value of the location; construct a reference line in the line graph corresponding to the reference temperature value, take the numerical point higher than the reference line as the reference point, construct a vertical line between each group of reference points and the reference line, and mark the vertical line as a high reference line; calculate the length of each group of high reference lines, count the number of high reference lines and record it as b1, take the average of the length of each group of high reference lines and record it as b2; substitute the number of high reference lines b1 and the length average b2 into the formula q2=b1×z1+b2×z2 for weighted calculation, and obtain the state temperature value q2 of the corresponding layout point within the set monitoring time period; wherein z1 and z2 are the influence weight factors of the number of high reference lines b1 and the length average b2 respectively;

[0047] M3: According to the location of the corresponding layout point, preset reference values ​​of the variable temperature value q1 and the state temperature value q2; the reference values ​​are the maximum allowable values ​​of the variable temperature value q1 and the state temperature value, respectively, which are set by the technical personnel according to the location of the corresponding layout point and can be adjusted later; the variable temperature value q1 and the state temperature value q2 of the corresponding layout point within the set monitoring time period are calculated with the corresponding reference values ​​to obtain the variable temperature ratio and the state temperature ratio; with the variable temperature ratio as the length value of the rectangle and the state temperature ratio as the width value of the rectangle, a rectangular model of the corresponding layout point within the set monitoring time period is constructed, and the area of ​​the constructed rectangle is calculated, and the calculated area is used as the operation estimate YX of the corresponding layout point;

[0048] M4: Based on steps M1-M3, the operation estimation values ​​of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period are obtained and marked as YXi; based on the location of the pre-arranged points, the allowable values ​​of the operation estimation values ​​YXi of different arrangement points are preset and recorded as ; The allowed value indicates the maximum allowed value of the running estimate YXi at different layout points, which is set by the technicians according to the location of the corresponding layout points and can be adjusted later;

[0049] Substitute the estimated operation value YXi of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period into the formula , perform weighted calculation to obtain the operation warning index ; Where uyi represents the influence weight factor of the running estimate YXi of each group of pre-deployed points;

[0050] It should be noted that, in summary, through the calculation of the temperature change value q1 and the state temperature value q2, not only the rate of temperature change and the degree of temperature exceedance are taken into account, but also the deviation from the preset reference value is taken into account, providing a more comprehensive equipment operation status assessment, and further through the comprehensive analysis of the operation warning index It provides a method for quantifying risks, which can improve the accuracy of early warning while realizing early warning for manufacturing machine tools. It introduces influence weight factors and adjusts them according to the importance or sensitivity of different layout points, which increases the accuracy and adaptability of the early warning system.

[0051] Get the environmental assessment index The specific steps are:

[0052] P1: Mark the types of harmful gases as v; v = 1, 2...F; the types of harmful gases are preset and collected by technical personnel, and the number of collected types can be increased later; based on the current working environment of mechanical manufacturing, the reference values ​​of dust concentration and harmful gas concentration are preset; there are multiple groups of reference values ​​of harmful gas concentration, and the specific number corresponds to F; the reference value represents the maximum allowable concentration value of dust concentration and harmful gas concentration;

[0053] P2: Extract the dust concentration value and harmful gas concentration value of the corresponding deployment point at the current arrival time, and mark them as Nt and ; The reference values ​​of dust concentration and harmful gas concentration are marked as and ; The dust concentration value Nt and the harmful gas concentration value of the corresponding deployment point Substitute into the formula Perform weighted calculation to obtain the environmental estimation value NS of the corresponding deployment point at the current arrival time point; where ck1 and ck2 are the dust concentration value Nt and the harmful gas concentration value respectively. The impact weight factor of

[0054] P3: Based on step P2, obtain the environmental estimates of each group of pre-arranged points in the working environment of the mechanical manufacturing at the current arrival time point and mark them as NSj; take the average of each group of environmental estimates NSj, that is, through The calculated mean value is used as the environmental assessment index of the working environment of mechanical manufacturing at the current arrival time point. ;

[0055] It should be noted that, in summary, environmental valuation is calculated for each pre-deployed point so that the air quality at each point can be quantified and compared. By calculating the mean of the environmental valuations of all pre-deployed points, the environmental assessment index of the entire working environment is obtained, which provides a comprehensive indicator for the air quality of the entire machinery manufacturing site and provides comprehensive early warning.

[0056] The warning processing module is used to receive the operation warning signal and the environmental warning signal generated at the current comparison time point, and execute corresponding steps;

[0057] When an operation warning signal is generated, the corresponding steps are executed, specifically:

[0058] H1: Operation warning index corresponding to the operation warning signal Calculate the difference with the reference threshold index, and match the calculated difference with the two sets of difference value ranges; set each set of difference value ranges to correspond to an early warning level; set it by technical personnel, and adjust it according to actual conditions later; obtain the early warning level at the current comparison time point; the early warning level is divided into general early warning and severe early warning;

[0059] H2: If a general warning is generated, the current manufacturing machine tool equipment is taken as the warning circle center, and the distance is set as the radius to draw a circle. The maintenance personnel within the circle are extracted as the maintenance personnel to be selected for the manufacturing machine tool equipment at the current comparison time point. The distance between the maintenance personnel to be selected and the warning circle center is obtained and marked as gy1; the time difference between the entry time of the maintenance personnel to be selected and the current comparison time point is further calculated to obtain the working hours of the maintenance personnel to be selected and marked as gy2; the average solution time of the maintenance personnel to be selected is extracted and recorded as gy3; the time point when the maintenance personnel arrives at the warning circle center and feeds back the arrival signal is marked as the start time, and the time point when the problem is solved and the end signal is fed back is marked as the end time. The difference between the start time and the end time is calculated to obtain the maintenance time taken by the maintenance personnel for this maintenance. The average time taken by each group of maintenance personnel is taken to obtain the average solution time of the maintenance personnel;

[0060] Substitute the distance gy1, working time gy2 and average time gy3 of the maintenance personnel to be selected into the formula Perform weighted calculation to obtain the optimal value of the maintenance personnel to be selected ; Where vh1, vh2 and vh3 are the influencing weight factors of the distance gy1, working time gy2 and average solution time gy3 respectively;

[0061] The optimal value The largest maintenance personnel to be selected is used as the maintenance personnel of the current manufacturing machine tool equipment, and a maintenance signaling is sent to the mobile terminal of the maintenance personnel;

[0062] H3: If a serious warning is generated, the production work of the manufacturing machine tool equipment is stopped and step H2 is executed;

[0063] It should be noted that, in summary, the maintenance personnel with the largest selection value are selected, and a maintenance signaling is sent to the mobile terminal of the personnel, thereby improving the timely processing and processing efficiency when an early warning occurs in the manufacturing machine tool equipment.

[0064] When an environmental warning signal is generated, the corresponding steps are executed, specifically:

[0065] First, the alarm of the working environment of the machinery manufacturing is triggered to remind the workers to evacuate and wear protective equipment, further increase mechanical ventilation and send abnormal environment signaling to the mobile terminal of the manager; the manager receives the abnormal environment signaling and evaluates whether it is necessary to notify professionals to go to the site for inspection and action;

[0066] The early warning optimization module is used to mark the time point when the abnormality occurs as the starting point when the manufacturing machine tool equipment is abnormal, and set the operation early warning index within the monitoring time period before the starting point. Conduct analysis and record, and build a database accordingly;

[0067] It should be noted that the operation warning index within the monitoring period set before the starting point , which can provide a basis for the adjustment of reference threshold index and the monitoring work of technical personnel.

[0068] It should be noted that the above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions and can be adjusted and modified later.

[0069] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A safety monitoring and early warning system for mechanical manufacturing, characterized in that: include: Equipment collection module: collects the operating temperature information of the pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period, and sends the operating temperature information collected by the pre-arranged points within the set time period to the early warning analysis module; the number of the pre-arranged points of the operating temperature information is marked as i, i=1,2...K, K is the total number of the pre-arranged points of the operating temperature information; Environmental collection module: Set the monitoring time interval of air quality information. When the set monitoring time interval is reached, collect the air quality information of the pre-arranged points in the working environment of the machinery manufacturing at the current arrival time point, and send the air quality information collected at the pre-arranged points at the current arrival time point to the early warning analysis module; mark the number of the pre-arranged points of air quality information as j, j=1,2...D, D is the total number of pre-arranged points of air quality information; air quality information includes dust concentration and harmful gas concentration in the air; Early warning analysis module: Receives and analyzes the operating temperature information of pre-set points of manufacturing machine tools within the set monitoring period to obtain the operation early warning index It is also used to receive and analyze the air quality information of the pre-arranged points in the working environment of the machinery manufacturing at the current arrival time point to obtain the environmental assessment index. ; Set the operation warning index and Environmental Assessment Index The reference threshold index; the operation warning index and Environmental Assessment Index Compare with the set reference threshold index respectively. If the operation warning index and Environmental Assessment Index If both are greater than the set reference threshold index, an operation warning signal and an environmental warning signal are generated based on the current comparison time point and sent to the warning processing module; Get the operation warning index The specific steps are: M1: Extract the operating temperature values ​​of the corresponding layout points at each time point within the set monitoring time period, construct a line graph of the operating temperature changes of the corresponding layout points, draw the numerical points corresponding to the operating temperature values ​​of the corresponding layout points at each time point in the line graph, and connect adjacent numerical points to obtain the temperature line; calculate the slope of each group of temperature lines and the angle between them and the horizontal line. If the angle is an obtuse angle, mark the slope of the temperature line as the first slope, and sum all the first slopes to obtain the first total value; if the angle is an acute angle, mark the slope of the temperature line as the second slope, sum all the second slopes and take the absolute value to obtain the second total value, take the highest numerical point and the lowest numerical point in the graph as reference points, construct a line segment, mark the constructed line segment with a vertical line, and calculate the length of the vertical line to obtain the vertical line length a1; The calculated first total value and the second total value are marked as a2 and a3 respectively, and based on the specific value of the second total value a3, the ratio between the first total value and the second total value is calculated, and the calculated ratio is marked as a4, that is, by Calculate and obtain; extract the vertical line length a1 and ratio a4 of the corresponding layout point within the set monitoring time period and substitute them into the formula Perform weighted calculation to obtain the temperature change value q1 of the corresponding deployment point within the set monitoring time period; Among them, t1 and t2 are the influencing weight factors of the vertical line length a1 and the ratio a4 respectively; The set monitoring time period is the x-axis, each time point has a corresponding position on the x-axis, and the temperature value at each time point is the y-axis. According to the temperature measurement values ​​at different time points, the corresponding height is determined on the y-axis to construct a line graph of the operating temperature change. The horizontal line is a straight line parallel to the x-axis. For each temperature line segment, the horizontal line corresponding to each temperature line segment is drawn from left to right until each horizontal line segment intersects with the corresponding temperature line. The angle line between each temperature line segment is drawn clockwise from the coordinate point, and the angle value corresponding to the angle line is obtained as the basis for distinguishing the first slope from the second slope. If the angle is an obtuse angle, it means that the corresponding temperature line is on an upward trend and the slope of the temperature line is marked as the first slope. If the angle is an acute angle, it means that the corresponding temperature line is on a downward trend and the slope of the temperature line is marked as the second slope. M2: Based on the temperature variation line graph constructed in step M1, extract the reference temperature value of the corresponding layout point; Construct a reference line in the line graph corresponding to the reference temperature value, take the numerical point higher than the reference line as the reference point, construct a vertical line between each group of reference points and the reference line, and mark the vertical line as a high reference line; calculate the length of each group of high reference lines, count the number of high reference lines and record it as b1, take the average of the length of each group of high reference lines and record it as b2; substitute the number of high reference lines b1 and the length average b2 into the formula q2=b1×z1+b2×z2 for weighted calculation, and obtain the state temperature value q2 of the corresponding layout point within the set monitoring time period; where z1 and z2 are the influence weight factors of the number of high reference lines b1 and the length average b2 respectively; M3: According to the location of the corresponding layout point, preset reference values ​​of the variable temperature value q1 and the state temperature value q2; calculate the ratios of the variable temperature value q1 and the state temperature value q2 of the corresponding layout point within the set monitoring time period with the corresponding reference values, and obtain the variable temperature ratio and the state temperature ratio; construct a rectangular model of the corresponding layout point within the set monitoring time period with the variable temperature ratio as the length value of the rectangle and the state temperature ratio as the width value of the rectangle, and calculate the area of ​​the constructed rectangle, and use the calculated area as the operation estimate YX of the corresponding layout point; M4: Based on steps M1-M3, the operation estimation values ​​of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period are obtained and marked as YXi; based on the location of the pre-arranged points, the allowable values ​​of the operation estimation values ​​YXi of different arrangement points are preset and recorded as ; Substitute the estimated operation value YXi of each group of pre-arranged points of the manufacturing machine tool equipment within the set monitoring time period into the formula , perform weighted calculation to obtain the operation warning index ; Where uyi represents the influence weight factor of the running estimate YXi of each group of pre-deployed points; Warning processing module: receives the operation warning signal and environmental warning signal generated at the current comparison time point, and executes corresponding steps; Early warning optimization module: When an abnormality occurs in a manufacturing machine tool, the time point of the abnormality is marked as the starting point, and the operation early warning index within the monitoring time period before the starting point is set. Analyze and record, and build a database based on this.

2. A safety monitoring and early warning system for mechanical manufacturing according to claim 1, characterized in that: Get the environmental assessment index The specific steps are: P1: Mark the type of harmful gas as v; Where v=1, 2...F; based on the current working environment of mechanical manufacturing, preset reference values ​​of dust concentration and harmful gas concentration; P2: Extract the dust concentration value and harmful gas concentration value of the corresponding deployment point at the current arrival time, and mark them as Nt and ; The reference values ​​of dust concentration and harmful gas concentration are marked as and ; The dust concentration value Nt and the harmful gas concentration value of the corresponding deployment point Substitute into the formula Perform weighted calculation to obtain the environmental estimation value NS of the corresponding deployment point at the current arrival time point; where ck1 and ck2 are the dust concentration value Nt and the harmful gas concentration value respectively. The impact weight factor of P3: Based on step P2, obtain the environmental estimates of each group of pre-arranged points in the working environment of the mechanical manufacturing at the current arrival time point and mark them as NSj; take the average of each group of environmental estimates NSj, that is, through The calculated mean value is used as the environmental assessment index of the working environment of mechanical manufacturing at the current arrival time point. .

3. A safety monitoring and early warning system for mechanical manufacturing according to claim 2, characterized in that: When an operation warning signal is generated, the corresponding steps are executed, specifically: H1: Operation warning index corresponding to the operation warning signal Calculate the difference with the reference threshold index, match the calculated difference with the two sets of difference value ranges; set each set of difference value ranges to correspond to one warning level; Get the warning level at the current comparison time point; The warning levels are divided into general warning and severe warning; H2: If a general warning is generated, the current manufacturing machine tool equipment is taken as the warning circle center, and the distance is set as the radius to draw a circle. The maintenance personnel within the circle are extracted as the maintenance personnel to be selected for the manufacturing machine tool equipment at the current comparison time point. The distance between the maintenance personnel to be selected and the warning circle center is obtained and marked as gy1; the time difference between the entry time of the maintenance personnel to be selected and the current comparison time point is further calculated to obtain the working hours of the maintenance personnel to be selected and marked as gy2; the average solution time of the maintenance personnel to be selected is extracted and recorded as gy3; the time point when the maintenance personnel arrives at the warning circle center and feeds back the arrival signal is marked as the start time, and the time point when the problem is solved and the end signal is fed back is marked as the end time. The difference between the start time and the end time is calculated to obtain the maintenance time taken by the maintenance personnel for this maintenance. The average time taken by each group of maintenance personnel is taken to obtain the average solution time of the maintenance personnel; Substitute the distance gy1, working time gy2 and average time gy3 of the maintenance personnel to be selected into the formula Perform weighted calculation to obtain the optimal value of the maintenance personnel to be selected ; Where vh1, vh2 and vh3 are the influencing weight factors of the distance gy1, working time gy2 and average solution time gy3 respectively; The optimal value The largest maintenance personnel to be selected is used as the maintenance personnel of the current manufacturing machine tool equipment, and a maintenance signaling is sent to the mobile terminal of the maintenance personnel; H3: If a serious warning is generated, the production work of the manufacturing machine tool equipment is stopped and step H2 is executed.

4. A safety monitoring and early warning system for mechanical manufacturing according to claim 3, characterized in that: When an environmental warning signal is generated, the corresponding steps are executed, specifically: first, the alarm of the working environment of the mechanical manufacturing is triggered to remind the staff to evacuate and wear protective equipment, further increase mechanical ventilation and send abnormal environment signaling to the mobile terminal of the manager.

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